Recent years reflect medical device manufacturers shifting value from just hardware, or even hardware and software. Hardware, software, and data are all now being monetized in the era of the Internet of Things. Data-rich IoT medical devices – pumps, monitors, wearables, tablets, and more – span a wide range of functions to support healthcare, diagnostics, […]
Why Effective Data Management is Key to Meeting Rising GenAI Demands
OpenAI’s ChatGPT release less than two years ago launched generative AI (GenAI) into the mainstream, with both enterprises and consumers discovering new ways to use it every day. For organizations, it’s unlocking opportunities to deliver more exceptional experiences to customers, enabling new types of applications that are adaptive, context-aware, and hyper-personalized. While the possibilities are […]
Demystifying Advanced Analytics: Which Approach Should Marketers Take?
“Advanced analytics” has been the new buzzword on every organization’s mind for the past several years. Recent advancements in machine learning have promised to optimize every arm of an organization – from marketing and sales to supply-chain operations. For some, investments in advanced analytics have been worth the hype. Those who succeed can gain a […]
What Doesn’t Work with Data Governance
Data governance is crucial for businesses aiming to maximize the value of their data, yet several common issues can significantly hinder its effectiveness. Let’s dive straight into these challenges and outline actionable strategies for overcoming them. Silos and Misalignment Data governance often operates in isolation, with dedicated teams having minimal interaction with the end-users of […]
End the Tyranny of Disaggregated Data
Customer renewal rates are dropping, and your CEO is on the warpath. You need to find out why and fast. At most large companies, that is a pretty tall task. Information about customers is likely scattered across an assortment of applications and devices ranging from your customer relationship management system to logs from customer-facing applications, […]
When Business Growth Strategy Drives Data Strategy
What are the biggest data strategy challenges facing you and your company? If you are like most, the main reason for developing a data strategy is to be capable of supporting the growth strategy of each type of business in an exclusive way – to offer competitive resilience with balance and maturity to defend and […]
Lost in Translation: Language Gap Holds Back GenAI in Life Sciences Industries
Across industries, organizations continue to seek out a range of use cases in which to deploy advanced intelligence. With the development of generative artificial intelligence (GenAI), various industries are leveraging the technology to process and analyze complex data, identify hidden patterns, automate repetitive tasks and generate creative content. The promise of GenAI is transformative, offering […]
Building a Common Data Language: How a Semantic Layer Drives Collaboration and Trust
The self-service analytics revolution was intended to free business users from IT chains. The idea was to break the IT bottleneck by allowing businesses to create their own data products. After all, businesses understand their respective domains better than anyone in IT could, and decentralizing the work of creating data products should theoretically increase the […]
How Changes to Cloud Egress Fees May – or May Not – Help You Save Money
For years, cloud egress fees – the costs incurred when data moves out of a cloud environment – were like death and taxes. They were unavoidable for any organization that used the cloud. But that has changed over the past few months as major cloud providers Google, Amazon and Microsoft have announced the discontinuation of […]
Data Retention Policies Must Evolve to Address Emerging Technologies and Data Growth
The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights. While AI and generative AI (GenAI) tools and systems contribute to […]